{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### matplotlib  seaborn "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "fig = plt.figure()  # an empty figure with no axes\n",
    "fig.suptitle('No axes on this figure')  # Add a title so we know which it is\n",
    "fig, ax_lst = plt.subplots(2, 2)  # a figure with a 2x2 grid of Axes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.8395416738759374\n",
      "1.8558383011478443\n",
      "Help on built-in function randn:\n",
      "\n",
      "randn(...) method of mtrand.RandomState instance\n",
      "    randn(d0, d1, ..., dn)\n",
      "    \n",
      "    Return a sample (or samples) from the \"standard normal\" distribution.\n",
      "    \n",
      "    If positive, int_like or int-convertible arguments are provided,\n",
      "    `randn` generates an array of shape ``(d0, d1, ..., dn)``, filled\n",
      "    with random floats sampled from a univariate \"normal\" (Gaussian)\n",
      "    distribution of mean 0 and variance 1 (if any of the :math:`d_i` are\n",
      "    floats, they are first converted to integers by truncation). A single\n",
      "    float randomly sampled from the distribution is returned if no\n",
      "    argument is provided.\n",
      "    \n",
      "    This is a convenience function.  If you want an interface that takes a\n",
      "    tuple as the first argument, use `numpy.random.standard_normal` instead.\n",
      "    \n",
      "    Parameters\n",
      "    ----------\n",
      "    d0, d1, ..., dn : int, optional\n",
      "        The dimensions of the returned array, should be all positive.\n",
      "        If no argument is given a single Python float is returned.\n",
      "    \n",
      "    Returns\n",
      "    -------\n",
      "    Z : ndarray or float\n",
      "        A ``(d0, d1, ..., dn)``-shaped array of floating-point samples from\n",
      "        the standard normal distribution, or a single such float if\n",
      "        no parameters were supplied.\n",
      "    \n",
      "    See Also\n",
      "    --------\n",
      "    standard_normal : Similar, but takes a tuple as its argument.\n",
      "    \n",
      "    Notes\n",
      "    -----\n",
      "    For random samples from :math:`N(\\mu, \\sigma^2)`, use:\n",
      "    \n",
      "    ``sigma * np.random.randn(...) + mu``\n",
      "    \n",
      "    Examples\n",
      "    --------\n",
      "    >>> np.random.randn()\n",
      "    2.1923875335537315 #random\n",
      "    \n",
      "    Two-by-four array of samples from N(3, 6.25):\n",
      "    \n",
      "    >>> 2.5 * np.random.randn(2, 4) + 3\n",
      "    array([[-4.49401501,  4.00950034, -1.81814867,  7.29718677],  #random\n",
      "           [ 0.39924804,  4.68456316,  4.99394529,  4.84057254]]) #random\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def my_plotter(ax, data1, data2, param_dict):\n",
    "    \"\"\"\n",
    "    A helper function to make a graph\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    ax : Axes\n",
    "        The axes to draw to\n",
    "\n",
    "    data1 : array\n",
    "       The x data\n",
    "\n",
    "    data2 : array\n",
    "       The y data\n",
    "\n",
    "    param_dict : dict\n",
    "       Dictionary of kwargs to pass to ax.plot\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    out : list\n",
    "        list of artists added\n",
    "    \"\"\"\n",
    "    out = ax.plot(data1, data2, **param_dict)\n",
    "    return out\n",
    "\n",
    "# which you would then use as:\n",
    "\n",
    "data1, data2 = np.random.randn(2, 100)\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "my_plotter(ax, data1, data2, {'marker': 'x'})\n",
    "print(data1.max())\n",
    "print(data2.max())\n",
    "help(np.random.randn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5509119388580356\n",
      "-1.7819066950403817\n",
      "(10, 12)\n"
     ]
    }
   ],
   "source": [
    "data1, data2, data3, data4 = np.random.randn(4, 100)\n",
    "print(data1[0])\n",
    "print(data1[1])\n",
    "np.random.randn?\n",
    "a = np.random.randn(10,12)\n",
    "print(a.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/seraph/anaconda3/lib/python3.7/site-packages/matplotlib/figure.py:98: MatplotlibDeprecationWarning: \n",
      "Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\n",
      "  \"Adding an axes using the same arguments as a previous axes \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Easy as 1, 2, 3')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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nC0Ze3InaVdVUTSITUfC7e2bo+yYzmwr0BH4R3maWDLwEXOzuW4uyrohEJmtfDuNnLOKN71aTVK8ab97SizPaqqmaFM1Rg9/MqgPl3D0rdPtCYGyBOUnAFOB6d19SlHVFJDKfLdrI6KnpbNy1j1vObM3dF7anWiW9I1uKLpK9phEwNfTugArAm+7+kZndBuDuE4AHgBOA50LzDr5ts9B1o/4sRMqwrbv3M3b6At77OZP2jWrw3LVn0D1JTdXk2Jl76TudHggEPCUlJdZliMSUu/N+6nrGTJtP1r4c/rtPW+7o25ZKFdRuQQ5lZnMj/ZyU/k4UKYU27NzHfe+m8cnCTZzUvDaPX9mLjo3VVE2iQ8EvUoq4O2//sIZHP1hITn4+o/t34qYzW1Ne7RYkihT8IqXEyi17GDUljW8ztnJam3qMvyKZVvWrx7osKYMU/CIxlpfvvPzvFfx51mIqlivHY1d0Y8ipLdRuQYqNgl8khhZvyGL4pHnMW7uT8zs1ZNzl3Whcu0qsy5IyTsEvEgMHcvN59vNlPPfFMmpWqchfru7OpclNdJQvJULBL1LCfl6zg+GT5rFk424uO7kpD17ahXrVK8W6LEkgCn6REpJ9IJf/+XgJL3+9goY1q/D3oQHO66SmalLyFPwiJeCbZVsYOSWN1duyubZXEiMu7kitKmqqJrGh4BcpRjv35vDYhwt5+4c1tDqhGm8PO43T2pwQ67IkwSn4RYrJrAUbue/dNDZn7ec3Z7fh9+e3p2ql8rEuS0TBLxJtW3bvZ8y0+UxPXU/HxjV58dcBkpvXiXVZIv+h4BeJEnfnvZ8zeej9+ezen8vdF7TntnNOVFM1KXUU/CJRkLljL6OnpvH54s2c3KIOT1yZTPtGNWNdlkihFPwixyE/33nj+9U8PmMRefnO/QM6c8MZrdRUTUq1iILfzFYCWUAe/3eRlfBxA54B+gPZwA3u/mNobChwX2jqOHd/NTqli8TWii17GDE5le9XbKN32xN4bFAySSdUi3VZIkdVlCP+vu6+5TBjFwPtQl+9gOeBXmZWD3gQCAAOzDWzae6+/ThqFomp3Lx8Xvr3Cp6atYRKFcrxxOBkfhVornYLEjeidarnMuA1D17Oa46Z1TGzJkAfYJa7bwMws1lAP+CtKD2uSIlakLmLEZNTSVu3kws6N2Lc5V1pVEtN1SS+RBr8DnxsZg684O4TC4w3A9aE3V8bWna45SJxZX9uHn/7bBnPf7GcOtUq8uw1PejfrbGO8iUuRRr8vd0908waArPMbJG7zw4bL2zv9yMsP4SZDQOGASQlJUVYlkjxm7tqOyMmp7Js024GdW/GAwM6U1dN1SSORfQGY3fPDH3fBEwFehaYshZoEXa/OZB5hOWFPcZEdw+4e6BBgwaRVS9SjPbsz+Wh9+dz5YRvyN6fyys3nspTV52s0Je4d9TgN7PqZlbz4G3gQiC9wLRpwK8t6DRgp7uvB2YCF5pZXTOrG1p3ZlSfgUgx+GrpZi56ejavfL2S609rycd3n0PfDg1jXZZIVERyqqcRMDV0LrMC8Ka7f2RmtwG4+wTgQ4Jv5VxG8O2cN4bGtpnZw8APoZ819uALvSKl0c7sHB75cAHvpKyldf3qvPOb0+nZul6syxKJKgu+Ead0CQQCnpKSEusyJMF8lL6B+99LZ9ueAww7uw13ndeOKhXVVE3ig5nNLfgZq8PRJ3cl4W3OCjZV+yBtPZ2a1OLloafSrXntWJclUmwU/JKw3J0pP65j7PQF7D2Qxz0XdWDY2W2oWF5N1aRsU/BLQlq7PZt7p6Yze8lmTmlZl8cHJ9O2YY1YlyVSIhT8klDy853Xv1vF4zMW4cCYSzvz69NbUU5N1SSBKPglYSzfvJuRk1P5YeV2zmpXn0cHdaNFPTVVk8Sj4JcyLycvnxe/yuDpT5ZSpUI5nrwymStPUVM1SVwKfinT0tftZMTkVOZn7qJfl8aMvbwLDWuqqZokNgW/lEn7cvL4y6dLeWF2BnWrVeL5a3twcbcmsS5LpFRQ8EuZk7JyG8Mnp5KxeQ9XntKc+y7pRJ1q6q8jcpCCX8qM3ftzefKjRbw2ZxVNa1fltZt6cnZ7NfwTKUjBL2XCl0s2c++UNDJ37mXo6a2456IOVK+s3VukMPqfIXFtR/YBHp6+kMk/rqVNg+r86zenE2ilpmoiR6Lgl7j1Ydp6Hngvne3ZOdzR90R+e66aqolEQsEvcWfTrn088N58Ppq/gS5Na/HqTT3p0lRN1UQipeCXuOHu/GvuWsZNX8C+3HxG9OvIrWe1poKaqokUiYJf4sKabdncOzWNr5Zu4dRWdRk/OJkTG6ipmsixiDj4zaw8kAKsc/cBBcaeAvqG7lYDGrp7ndBYHpAWGlvt7gOPu2pJGHn5zmvfruTJmYsx4OHLunBtr5ZqqiZyHIpyxH8XsBCoVXDA3f9w8LaZ/RboHja8191PPuYKJWEt25TF8Emp/Lh6B+e0b8Ajg7rSvK6aqokcr4iC38yaA5cAjwB3H2X61cCDx1mXJLCcvHxe+HI5f/l0GdUql+d//uskBnVvpqZqIlES6RH/08BwoOaRJplZS6A18FnY4ipmlgLkAuPd/d1jKVQSQ9randwzaR6LNmRxSXITxlzahQY1K8e6LJEy5ajBb2YDgE3uPtfM+hxl+hBgkrvnhS1LcvdMM2sDfGZmae6+vJDHGQYMA0hKSor4CUjZsC8nj6c/WcqLX2VQr3olXrj+FC7q0jjWZYmUSZEc8fcGBppZf6AKUMvMXnf36wqZOwS4I3yBu2eGvmeY2RcEz/8fEvzuPhGYCBAIBLwoT0Li23cZWxk5JY0VW/ZwVaAF9/bvRO1qFWNdlkiZddTgd/dRwCiA0BH/HwsLfTPrANQFvg1bVhfIdvf9Zlaf4C+RJ6JTusS7rH05PPHRYv4xZxXN61bl9Zt7cWa7+rEuS6TMO+b38ZvZWCDF3aeFFl0NvO3u4UfrnYAXzCwfKEfwHP+CY65WyozPF21i9NQ01u/ax029W/PHi9pTrZI+ViJSEuyXOV06BAIBT0lJiXUZUgy27TnAw9MXMPWndbRrWIPxg5M5pWXdWJclEvfMbK67ByKZq0MsKRHuzgdp63nwvfns3JvD785tyx3ntqVyBTVVEylpCn4pdht37eO+d9OZtWAj3ZrV5vVbetGpySGfAxSREqLgl2Lj7ryTsoZxHyzkQG4+oy7uyM1nqqmaSKwp+KVYrN6azcgpqXyzfCs9W9fj8cHJtK5fPdZliQgKfomyvHznla9X8OePl1C+nDHu8q5c0zNJTdVEShEFv0TNko3Bpmo/r9nBuR0bMu7yrjStUzXWZYlIAQp+OW4HcvN5/ovl/O3zpdSoXIFnhpzMwJOaqqmaSCml4JfjMm/NDkZMTmXRhiwuPakpYy7tzAk11FRNpDRT8Msx2Xsgj6c+WcJLX2XQoGZlXvx1gAs6N4p1WSISAQW/FNm3y7cyakoqK7dmc3XPFozq34laVdRUTSReKPglYrv25TB+xiLe/G41SfWq8eYtvTijrZqqicQbBb9E5NOFGxk9NZ1NWfu49azW3H1BB6pWUrsFkXik4Jcj2rp7Pw+9v4Bp8zLp0KgmE64/hZNb1Il1WSJyHBT8Uih3Z9q8TB56fwFZ+3L4/fnt+O8+balUQe0WROKdgl8OsX7nXu6bms6nizZxUos6PDE4mQ6Nj3i5ZRGJIwp++Y/8fOftH9bw2IcLycnP575LOnFj79aUV7sFkTIl4r/bzay8mf1kZtMLGbvBzDab2c+hr1vCxoaa2dLQ19BoFS7RtXLLHq55aQ73Tk2ja7PazPz92dxyVhuFvkgZVJQj/ruAhcDhGqn/093vDF9gZvWAB4EA4MBcM5vm7tuPpViJvty8fF4ONVWrVL4c46/oxlWntlC7BZEyLKLgN7PmwCXAI8DdRfj5FwGz3H1b6OfMAvoBbxWxTikGizbsYsSkVOat3cn5nRoy7vJuNK5dJdZliUgxi/SI/2lgOHCkV/gGm9nZwBLgD+6+BmgGrAmbsza07BBmNgwYBpCUlBRhWXIs9ufm8ezny3nu82XUrlqRv17dnQHJTXSUL5IgjnqO38wGAJvcfe4Rpr0PtHL3ZOAT4NWDqxcyt9Cru7v7RHcPuHugQYMGRytLjtFPq7dz6V//zV8+XcqA5CbMuvscLlUnTZGEEskRf29goJn1B6oAtczsdXe/7uAEd98aNv9F4PHQ7bVAn7Cx5sAXx1OwHJvsA7n8+eMlvPz1ChrXqsLLNwQ4t6OaqokkoqMGv7uPAkYBmFkf4I/hoR9a3sTd14fuDiT4IjDATOBRM6sbun/hwZ8lJefrZVsYOSWVNdv2cm2vJEZe3JGaaqomkrCO+X38ZjYWSHH3acDvzGwgkAtsA24AcPdtZvYw8ENotbEHX+iV4rdzbw6PfbiQt39YQ6sTqvH2sNM4rc0JsS5LRGLM3As95R5TgUDAU1JSYl1GXPt4/gbuezedLbv3c+vZbfjD+e2pUlFN1UTKKjOb6+6BSObqk7tlzJbd+xkzbT7TU9fTsXFNXhoaILm5mqqJyP9R8JcR7s67P6/jofcXkL0/j/93QXt+c86JaqomIodQ8JcBmTv2MnpqGp8v3kz3pGBTtXaN1FRNRAqn4I9j+fnOG9+vZvyHC8l3eGBAZ4ae0Ur9dUTkiBT8cSpj825GTk7j+5XbOLNtfR67ohst6lWLdVkiEgcU/HEmNy+fl/69gqdmLaFShXI8MTiZXwWa65O3IhIxBX8cWZC5i+GT55G+bhcXdm7Ew5d3pVEtNVUTkaJR8MeB/bl5/O2zZTz/xXLqVKvIs9f0oH+3xjrKF5FjouAv5eau2saIyWks27SbK3o04/5LOlO3eqVYlyUicUzBX0rt2Z/LkzMX8+q3K2lauyr/e+Op9OnQMNZliUgZoOAvhb5auplRU9JYu30vvz69JcP7daRGZf1TiUh0KE1KkZ3ZOYz7YAH/mruWNvWr885vTqdn63qxLktEyhgFfynxUfoG7n8vnW17DnB7nxO567x2aqomIsVCwR9jm7L2MWbafD5M20DnJrV45YZT6dqsdqzLEpEyTMEfI+7O5B/X8fD0BezNyeOeizow7Ow2VCyvpmoiUrwU/DGwdns2905NZ/aSzZzSsi6PD06mbcMasS5LRBJExMFvZuWBFGCduw8oMHY3cAvBK3BtBm5y91WhsTwgLTR1tbsPjEbh8Sg/3/nHnFU8/tEiAB4a2IXrT2tJOTVVE5ESVJQj/rsIXku3ViFjPwEBd882s9uBJ4CrQmN73f3k4ysz/i3fvJsRk1JJWbWds9rV59FBaqomIrERUfCbWXPgEuAR4O6C4+7+edjdOcB1Beckqpy8fCbOzuCZT5dStWJ5/vSrkxjco5naLYhIzER6xP80MByI5OoeNwMzwu5XMbMUgqeBxrv7u4WtZGbDgGEASUlJEZZVuqWv28mIyanMz9xF/26NGTOwCw1rqqmaiMTWUYPfzAYAm9x9rpn1Ocrc64AAcE7Y4iR3zzSzNsBnZpbm7ssLruvuE4GJELzYehGeQ6mzLyePv3y6lBdmZ1C3WiUmXNeDfl2bxLosEREgsiP+3sBAM+sPVAFqmdnr7v6L0zlmdj4wGjjH3fcfXO7umaHvGWb2BdAdOCT4y4ofVm5jxKRUMrbs4VenNOe+SzpTu1rFWJclIvIfRw1+dx8FjAIIHfH/sZDQ7w68APRz901hy+sC2e6+38zqE/wl8kT0yi89du/P5YmPFvHat6toVqcqr93Uk7PbN4h1WSIihzjm9/Gb2Vggxd2nAU8CNYB/hV60PPi2zU7AC2aWD5QjeI5/wfGXXbp8uWQz905JI3PnXm44oxX3XNSB6mqqJiKllLmXvtPpgUDAU1JSYl3GUe3IPsDY6QuY8uM6TmxQnccHJxNopaZqIlLyzGyuuwcimavD0mPg7sxI38AD76WzIzuHO/u25c5z26qpmojEBQV/EW3atY/730tn5vyNdG1Wi1dv6kmXpmqqJiLxQ8EfIXfnX3PXMm76Avbl5jOiX0duPas1FdRUTUTijII/Amu2ZTNqShr/XraFnq3qMX5wN9o0UFM1EYlPCv4jyMt3XvsaEG+pAAAIzUlEQVR2JU98tJhyBg9f1oVre6mpmojENwX/YSzblMXwSan8uHoH57RvwKNXdKNZnaqxLktE5Lgp+AvIyctnwhfL+etny6hWuTxPXXUSl5+spmoiUnYo+MOkrd3JPZPmsWhDFpckN+GhgV2oX6NyrMsSEYkqBT/BpmpPfbKEF2dnUL9GZV64/hQu6tI41mWJiBSLhA/+7zK2MnJKGiu27OGqQAvuvaQTtauqqZqIlF0JG/xZ+3J4/KNFvD5nNS3qVeWNW3rRu239WJclIlLsEjL4P1+0idFT01i/ax83n9ma/3dhe6pVSshNISIJKKHSbtueAzw8fQFTf1pHu4Y1mHz7GfRIqhvrskRESlRCBL+7Mz11PWOmzWfn3hx+d1477uh7IpUrqKmaiCSeMh/8G3ftY/TUdD5ZuJHk5rV5/ZZedGpSK9ZliYjETMTBb2blgRRgnbsPKDBWGXgNOAXYClzl7itDY6MIXoA9D/idu8+MTulH5u7884c1PPLhQg7k5nNv/47c1FtN1UREinLEfxewECjscPlmYLu7tzWzIcDjwFVm1hkYAnQBmgKfmFl7d887zrqPaPXWbEZOSeWb5Vvp1boejw9OplX96sX5kCIicSOiw18zaw5cArx0mCmXAa+Gbk8CzrNgj4PLgLfdfb+7rwCWAT2Pr+TDy8t3Xvoqgwuf/pLUtTt5ZFBX3rr1NIW+iEiYSI/4nwaGAzUPM94MWAPg7rlmthM4IbR8Tti8taFlUbczO4ehr3zPz2t2cG7HhjwyqCtNaqupmohIQUcNfjMbAGxy97lm1udw0wpZ5kdYXtjjDAOGASQlJR2trEPUqlqBlidU48berRh4UlM1VRMROYxIjvh7AwPNrD9QBahlZq+7+3Vhc9YCLYC1ZlYBqA1sC1t+UHMgs7AHcfeJwEQIXmy9qE/EzHhmSPeiriYiknCOeo7f3Ue5e3N3b0XwhdrPCoQ+wDRgaOj2laE5Hlo+xMwqm1lroB3wfdSqFxGRIjvm9/Gb2Vggxd2nAX8H/mFmywge6Q8BcPf5ZvYOsADIBe4o7nf0iIjIkVnwwLx0CQQCnpKSEusyRETihpnNdfdAJHP1aSYRkQSj4BcRSTAKfhGRBKPgFxFJMAp+EZEEUyrf1WNmm4FVx7h6fWBLFMuJFtVVNKqraFRX0ZTFulq6e4NIJpbK4D8eZpYS6VuaSpLqKhrVVTSqq2gSvS6d6hERSTAKfhGRBFMWg39irAs4DNVVNKqraFRX0SR0XWXuHL+IiBxZWTziFxGRI4ib4Dezfma22MyWmdnIQsYrm9k/Q+PfmVmrsLFRoeWLzeyiEq7rbjNbYGapZvapmbUMG8szs59DX9NKuK4bzGxz2OPfEjY21MyWhr6GFly3mOt6KqymJWa2I2ysOLfXy2a2yczSDzNuZvaXUN2pZtYjbKw4t9fR6ro2VE+qmX1jZieFja00s7TQ9opq18MI6upjZjvD/r0eCBs74j5QzHXdE1ZTemifqhcaK87t1cLMPjezhWY238zuKmROye1j7l7qv4DywHKgDVAJmAd0LjDnv4EJodtDgH+GbncOza8MtA79nPIlWFdfoFro9u0H6wrd3x3D7XUD8LdC1q0HZIS+1w3drltSdRWY/1vg5eLeXqGffTbQA0g/zHh/YAbBq8qdBnxX3NsrwrrOOPh4wMUH6wrdXwnUj9H26gNMP959INp1FZh7KcFrh5TE9moC9AjdrgksKeT/ZIntY/FyxN8TWObuGe5+AHib4IXcw8Xigu9HrcvdP3f37NDdOQSvQlbcItleh3MRMMvdt7n7dmAW0C9GdV0NvBWlxz4id59N8FoSh3MZ8JoHzQHqmFkTind7HbUud/8m9LhQcvtXJNvrcI5n34x2XSW5f6139x9Dt7OAhRx6/fES28fiJfj/czH3kMIu2v6LC74D4Rd8P9q6xVlXuJsJ/kY/qIqZpZjZHDO7PEo1FaWuwaE/KSeZ2cFLZJaK7RU6JdYa+CxscXFtr0gcrvbi3F5FVXD/cuBjM5trwWtal7TTzWyemc0wsy6hZaVie5lZNYLhOTlscYlsLwuehu4OfFdgqMT2sWO+AlcJi+Si7cd9wfdjUJSLyV8HBIBzwhYnuXummbUBPjOzNHdfXkJ1vQ+85e77zew2gn8tnRvhusVZ10FDgEn+yyu2Fdf2ikQs9q+ImVlfgsF/Ztji3qHt1RCYZWaLQkfEJeFHgi0Edlvwet3vErz0aqnYXgRP83zt7uF/HRT79jKzGgR/2fze3XcVHC5klWLZx+LliD+Si7b/Z44d4wXfi6kuzOx8YDQw0N33H1zu7pmh7xnAFwSPAkqkLnffGlbLi8Apka5bnHWFGUKBP8OLcXtF4nC1F+f2ioiZJQMvAZe5+9aDy8O21yZgKtE7xXlU7r7L3XeHbn8IVDSz+pSC7RVypP2rWLaXmVUkGPpvuPuUQqaU3D5WHC9kRPuL4F8mGQT/9D/4glCXAnPu4Jcv7r4Tut2FX764m0H0XtyNpK7uBF/MaldgeV2gcuh2fWApUXqRK8K6moTdHgTM8f97IWlFqL66odv1Sqqu0LwOBF9os5LYXmGP0YrDv1h5Cb984e374t5eEdaVRPB1qzMKLK8O1Ay7/Q3QrwTranzw349ggK4ObbuI9oHiqis0fvCgsHpJba/Qc38NePoIc0psH4vaxi7uL4KveC8hGKKjQ8vGEjyKBqgC/Cv0n+B7oE3YuqND6y0GLi7huj4BNgI/h76mhZafAaSFdvw04OYSrusxYH7o8T8HOoate1NoOy4DbizJukL3xwDjC6xX3NvrLWA9kEPwCOtm4DbgttC4Ac+G6k4DAiW0vY5W10vA9rD9KyW0vE1oW80L/TuPLuG67gzbv+YQ9oupsH2gpOoKzbmB4Bs+wtcr7u11JsHTM6lh/1b9Y7WP6ZO7IiIJJl7O8YuISJQo+EVEEoyCX0QkwSj4RUQSjIJfRCTBKPhFRBKMgl9EJMEo+EVEEsz/B/9WA9ccjcrHAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(1)                # the first figure\n",
    "plt.subplot(211)             # the first subplot in the first figure\n",
    "plt.plot([1, 2, 3])\n",
    "plt.subplot(212)             # the second subplot in the first figure\n",
    "plt.plot([4, 5, 6])\n",
    "\n",
    "\n",
    "plt.figure(2)                # a second figure\n",
    "plt.plot([4, 5, 6])          # creates a subplot(111) by default\n",
    "\n",
    "plt.figure(1)                # figure 1 current; subplot(212) still current\n",
    "plt.subplot(211)             # make subplot(211) in figure1 current\n",
    "plt.title('Easy as 1, 2, 3') # subplot 211 title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x11c89fb38>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import cm\n",
    "from matplotlib.ticker import LinearLocator, FormatStrFormatter\n",
    "import numpy as np\n",
    "from mpl_toolkits.mplot3d import axes3d, Axes3D #<-- Note the capitalization! \n",
    "fig = plt.figure()\n",
    "\n",
    "# fig = plt.figure()\n",
    "# ax = fig.gca(projection='3d')\n",
    "ax = Axes3D(fig)\n",
    "# Make data.\n",
    "X = np.arange(-5, 5, 0.25)\n",
    "Y = np.arange(-5, 5, 0.25)\n",
    "X, Y = np.meshgrid(X, Y)\n",
    "R = np.sqrt(X**2 + Y**2)\n",
    "Z = np.sin(R)\n",
    "\n",
    "# Plot the surface.\n",
    "surf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,\n",
    "                       linewidth=0, antialiased=False)\n",
    "\n",
    "# Customize the z axis.\n",
    "ax.set_zlim(-1.01, 1.01)\n",
    "ax.zaxis.set_major_locator(LinearLocator(10))\n",
    "ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))\n",
    "\n",
    "# Add a color bar which maps values to colors.\n",
    "fig.colorbar(surf, shrink=0.5, aspect=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mpl_toolkits import mplot3d"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
